AI Full Stack Tech Lead

Artech LLC
  • Tampa, FL, FL
  • $42–$45 Per Hour
  • Instant Apply
3 days ago

Job Description

Job Title: AI Full Stack Technical Lead – Generative AI, Agentic AI & LLMs
Location: Tampa, FL ,(Hybrid)
Duration: 6 Months
 
Salary Range: $42.00 - $45.00/Hour on W2 (Without Benefits).
Applicants must be willing to work on W2.
 
Job Description:
  • We are seeking an experienced AI Technical Lead with deep expertise in Large Language Models (LLMs), Agentic AI, Python, LangChain, LangGraph, RAG architectures, and cloud-based AI platforms.
  • The ideal candidate will lead the design, architecture, development, and delivery of enterprise-scale Generative AI solutions while mentoring engineering teams and driving AI innovation across the organization.
Key Responsibilities:
Technical Leadership:
  • Define and drive the AI/GenAI technology roadmap aligned with business objectives.
  • Architect scalable, secure, and production-ready AI solutions using modern GenAI frameworks.
  • Lead engineering teams in designing and implementing enterprise AI applications.
  • Establish coding standards, design patterns, and AI engineering best practices.
  • Review solution architectures, code quality, and technical deliverables.
  • Provide technical leadership, mentorship, and guidance to the AI development team.
Generative AI & Agentic AI:
  • Lead the architecture and development of AI solutions utilizing Python, LangChain, LangGraph, and Agentic AI methodologies.
  • Design and implement advanced AI applications leveraging LLMs such as GPT, Claude, Gemini, and Llama.
  • Build intelligent autonomous and multi-agent systems using LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks.
  • Develop AI agents capable of planning, reasoning, memory management, and tool orchestration.
  • Define agent governance, guardrails, evaluation frameworks, and responsible AI controls.
RAG & Knowledge Engineering:
  • Design and implement Retrieval-Augmented Generation (RAG) workflows to enhance information retrieval and AI model responses.
  • Architect RAG solutions using enterprise knowledge repositories.
  • Implement semantic search, vector databases, embeddings, and knowledge graph solutions.
  • Optimize prompt engineering, context management, and grounding strategies to improve response quality.
Full-Stack Development:
  • Lead the delivery of full-stack applications and mentor engineers.
  • Develop backend services and APIs using Python and/or Node.js.
  • Build production-quality user interfaces using React and TypeScript.
  • Collaborate with cross-functional teams to integrate AI capabilities within existing systems and new products.
  • Translate business challenges into innovative AI-powered solutions.
Solution Delivery:
  • Drive end-to-end AI solution development from concept and architecture through production deployment.
  • Collaborate with business stakeholders, product owners, architects, and engineering teams.
  • Drive Agile execution and ensure successful project delivery.
  • Ensure quality, performance, robustness, scalability, and reliability of AI systems.
AI Platform & MLOps:
  • Manage AI deployment and scalability using cloud services, including Azure AI and AWS Bedrock.
  • Establish AI Engineering, LLMOps, and MLOps practices.
  • Design CI/CD pipelines for AI applications and model deployment.
  • Implement monitoring, observability, model evaluation, and performance tuning.
  • Ensure compliance, security, scalability, and reliability of AI systems.
  • Ensure best practices in AI model development, data handling, and security compliance.
Team Leadership & Innovation:
  • Mentor and guide AI Engineers, ML Engineers, and Software Developers.
  • Conduct technical reviews, design sessions, and knowledge-sharing workshops.
  • Foster innovation and continuous learning within the AI engineering team.
  • Stay abreast of AI research trends and emerging technologies to continuously innovate and improve AI strategies.
Required Qualifications:
  • Must have 7+ years of experience in Artificial Intelligence (AI).
  • Proven experience leading the delivery of full-stack applications and mentoring engineers.
  • Strong hands-on skills in Python and/or Node.js for backend and API development.
  • Proficiency in React and TypeScript, including building production-quality user interfaces.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Extensive experience in AI development with strong Python programming skills.
  • Hands-on experience with LangChain, LangGraph, and Agentic AI frameworks.
  • Proven expertise in Retrieval-Augmented Generation (RAG) techniques.
  • Familiarity with cloud AI services, especially Azure AI and AWS Bedrock.
  • Strong problem-solving skills and ability to architect scalable AI systems.
  • Excellent communication skills and team leadership experience.
  • Experience with containerization and CI/CD pipelines is a plus.

Numbers & Facts

LocationTampa, FL, FL
Salary$42–$45 Per Hour

Skills

  • Agile Programming Methodologiesunmatched
  • Amazon Web Services (AWS)unmatched
  • Application Programming Interface (API)unmatched
  • Architectural Designunmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Best Practicesunmatched
  • Cloud Architectureunmatched
  • Cloud Computingunmatched
  • Coding Standardsunmatched
  • Communication Skillsunmatched
  • Computer Programmingunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Improvementunmatched
  • Continuous Integrationunmatched
  • Cross-Functionalunmatched
  • Data Modelingunmatched
  • Design Patterns Programming Methodologiesunmatched
  • Emerging Technologyunmatched
  • Information Retrievalunmatched
  • Information/Data Security (InfoSec)unmatched
  • Knowledge Engineeringunmatched
  • Knowledge Repositoriesunmatched
  • Leadershipunmatched
  • Maintain Complianceunmatched
  • Management Strategyunmatched
  • Memory Managementunmatched
  • Mentoringunmatched
  • Microsoft Windows Azureunmatched
  • Modeling Languagesunmatched
  • Node.jsunmatched
  • Performance Modelingunmatched
  • Performance Tuning/Optimizationunmatched
  • Problem Solving Skillsunmatched
  • Python Programming/Scripting Languageunmatched
  • Quality Managementunmatched
  • Security Complianceunmatched
  • Semantic Searchunmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • System Architectureunmatched
  • Systems Reliabilityunmatched
  • Systems Scalabilityunmatched
  • Team Lead/Managerunmatched
  • Technical Deliveryunmatched
  • Technical Leadershipunmatched
  • Technical/Engineering Designunmatched
  • Trend Analysisunmatched
  • User Interface/Experience (UI/UX)unmatched

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